An enhanced discrete wavelet packet transform for feature extraction in electroencephalogram signals
Extracting features from electroencephalogram (EEG) is a challenging task because the signals are complex and chaotic in nature. EEG signals are time varying as human brain produces different frequency bands within different period of time. Due to this reason, several time-frequency methods have bee...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/25650/ http://doi.org/10.1145/3132300.3132303 |
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